Dokumentdetails
ID
doi:10.1186/s12866-023-02799-9...
Autor
Ji, Zhicheng Ma, LiLangue
enEditor
BioMed Central
Kategorie
Mycology
Jahr
2023
Auflistungsdatum
08.03.2023
Schlüsselwörter
metatranscriptomics shotgun sequencing microbiome differential analysis metatranscriptomics rna analysis controlling differential dna taxa dataZusammenfassung
Background A common task in analyzing metatranscriptomics data is to identify microbial metabolic pathways with differential RNA abundances across multiple sample groups.
With information from paired metagenomics data, some differential methods control for either DNA or taxa abundances to address their strong correlation with RNA abundance.
However, it remains unknown if both factors need to be controlled for simultaneously.
Results We discovered that when either DNA or taxa abundance is controlled for, RNA abundance still has a strong partial correlation with the other factor.
In both simulation studies and a real data analysis, we demonstrated that controlling for both DNA and taxa abundances leads to superior performance compared to only controlling for one factor.
Conclusions To fully address the confounding effects in analyzing metatranscriptomics data, both DNA and taxa abundances need to be controlled for in the differential analysis.
Ji, Zhicheng,Ma, Li, 2023, Controlling taxa abundance improves metatranscriptomics differential analysis, BioMed Central
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